Credit Union Data Analytics: Who are your best members? :)

Our “A” members are the ones who know the difference between a credit union and a bank, believe it, feel it, and espouse it. They bring us all of their financial services business and tell all their friends. If you are interested in what their data tells you about them then this post in Credit Union 2.0’s “Almost 99 Small Data Credit Union Hacks” series will be helpful.

This blog is the ninth and final part in Credit Union 2.0’s “Almost 99 Small Data Credit Union hacks” series and is based on the book Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age which covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

The key here is patterns. Once you sniff out the predictive behavior, you can be proactive with how you interact with the member.

Here are some ideas on where to look for your “A” member patterns:

Data What to do with it?
Favorite Grocery Store Special promotion with that store
Favorite Vehicle Special promotion with the local auto dealer
Favorite Coffee Shop Hang out there too – send them a cup on you!
Favorite Online Retailer Special Promotion
Favorite Local Small Merchant Hang out there too
Favorite Gym Special Credit Union deal
Who They Follow on Facebook Could this be a potential guest blogger on your site? Maybe there is an opportunity for you to update your content to be more relevant.
Where They Work Follow their leadership online
When They go to Branches Better service hours
Who Their Favorite Tellers/Call Center Reps Are Understand why
What Life Stage They are at What is next for them and how can you help?

 

Knowing your “A” members inside and out and further tailoring your services will help those members bring their friends. You want your “A” members fiercely loyal and believing in the credit union difference. Show those members the difference every day and hang out with them and their friends.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the final post in a nine part series. If you want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

Click here for part six of the data analytics series. 

Click here for part seven of the data analytics series. 

Click here for part eight of the data analytics series. 

Credit Union Data Analytics: Who are your best members?

Our “A” members are the ones who know the difference between a credit union and a bank, believe it, feel it, and espouse it. They bring us all of their financial services business and tell all their friends. If you are interested in what credit union data analytics tells you about them then this post in Credit Union 2.0’s “Almost 99 Small Data Credit Union Hacks” series will be helpful.

This blog is the ninth and final part in Credit Union 2.0’s “Almost 99 Small Data Credit Union hacks” series and is based on the book Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age which covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

The key here is patterns. Once you sniff out the predictive behavior, you can be proactive with how you interact with the member.

Here are some ideas on where to look for your “A” member patterns:

Credit Union Data Analytics Patterns

Data What to do with it?
Favorite Grocery Store Special promotion with that store
Favorite Vehicle Special promotion with the local auto dealer
Favorite Coffee Shop Hang out there too – send them a cup on you!
Favorite Online Retailer Special Promotion
Favorite Local Small Merchant Hang out there too
Favorite Gym Special Credit Union deal
Who They Follow on Facebook Could this be a potential guest blogger on your site? Maybe there is an opportunity for you to update your content to be more relevant.
Where They Work Follow their leadership online
When They go to Branches Better service hours
Who Their Favorite Tellers/Call Center Reps Are Understand why
What Life Stage They are at What is next for them and how can you help?

 Credit Union Data Analytics: A Members

Knowing your “A” members inside and out and further tailoring your services will help those members bring their friends. You want your “A” members fiercely loyal and believing in the credit union difference. Show those members the difference every day and hang out with them and their friends.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the final post in a nine part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

Click here for part six of the data analytics series. 

Click here for part seven of the data analytics series. 

Click here for part eight of the data analytics series. 

Data Analytics for Credit Unions: What can you learn from your member’s payroll?

In the last post in this series, we covered key insights and actions you can take when your member changes their address. This post continues takes a similar path and explores what can you learn when your member changes their payroll.

This is the third part of a 9 part series. If you can’t wait for next week and want the full guide “Almost 99 Credit Union Small Data Hacks Guide” click here!

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (If this than that)

If you have ever changed jobs or been laid off, then you know how much paperwork is involved. This is a prime opportunity to make your members feel the credit union difference. Having plans around the different stages can help make sure

  1. A) Your member is ok
  2. B) Your member pays you first before other creditors
  3. C) You build an experience and have positive interactions that makes someone a member for life

Here is a quick list of what you can learn and what you should do if your member changes their payroll:

What Happened? What could it mean? What should you do?
Member’s payroll goes up or changes source New Job Double check on LinkedIn. If you can confirm it, then send the member an email message and thank them for their loyalty and business.  Perhaps offer them an opportunity to upgrade to your top tier credit card.
Send an email on how to save some of that new money by either setting up an auto transfer or paying a bit extra to their mortgage each month. This is a great time to help your member set-up good financial habits.
Member’s payroll stops They are moving on from your Credit Union You probably have one last chance to save this account. A personal email or note thanking them for their business and a survey could turn a loss into a save.
They have passed away Maybe check the obituaries. If they have passed away, send flowers to the funeral and a sympathy card to the member’s address but addressed to the family members.  Let them know you are there for them in the transition.
The date changes New Job See Above
An offer to change their loan due dates to align with their payroll cycle could be an opportunity to add that personal touch and delight a member.
Offer a skip a pay.
Direct Deposit on a holiday Member might get paid late Jump in early. Post that payroll a day early and send an email in advance letting them know you took care of it for them because you care!
Direct Deposit Reduced >20% Lost job or reduced hours Add the member to the debt consolidation marketing campaign and provide key tips for cutting back.

Watching for payroll changes is a great indication of some key life changes for your member.  Personalizing the response, offering assistance, and educating the member accordingly is a great way to make a connection and make someone a member for life!

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the third part of a 9 part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.